From the course: Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV

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How to use other computer vision models

How to use other computer vision models - OpenCV Tutorial

From the course: Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV

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How to use other computer vision models

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- [Instructor] In this video, we will explore how we can use different models with analytics Python package. We can use the YOLO models and for this we will need to import the YOLO modules. (computer keyboard clacking) Then we can load the YOLO model. For example, if we want to load the YOLO v5 model, we can say yolov5.pt. If we want to upload the YOLO v8 model, we can say yolov8.pt. And if we want to load the YOLO 11 model, we can say yolo11.pt. This shows like if we want to use any YOLO models with analytics Python package, we just need to use the YOLO module that we have imported in line number one. But analytics asks us for many additional models like Segment anything, YOLO World, MobileSAM, Fast SAM, and so on. Let's go to docs.ultalytics.com/models. Here, we can see different models that ultalytics sport. In the sidebar, you can see different models including all the YOLO models and other models as well, including SAM, SAM 2, MobileSAM, far, FastSAM, YOLO-World, and so on. Let's…

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